Causality Assessment of Channels with Long Delay

Causality is crucial in analyzing frequency responses in long channel systems, where its accurate assessment is challenging. Long delay systems often face numerical errors due to low sampling rates. This paper discusses two scenarios of causality misjudgment and proposes a solution focusing on delay time removal to reduce errors. We introduce a runtime method for delay time estimation, combined with a modified dispersion relation, to enhance the accuracy of causality determination in long channels.